iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks
Summary: Demonstrates iQCAR, a model of inter-query contention in clusters, using an iQC-Graph to attribute interference among concurrent queries. An interactive demo to identify top victims/sources, diagnose hotspots, and compare scheduler rules by predicting impact on later runs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Prajakta Kalmegh
- 2. Harrison Lundberg
- 3. Frederick Xu
- 4. Shivnath Babu
- 5. Sudeepa Roy
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,124 | iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks | 2019 | SIGMOD | 5.1988046e-05 |
| 6,565 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.0081626e-05 |
| 10,269 | Database Views as Explanations for Relational Deep Learning | 2026 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,534 | PerfXplain: Debugging MapReduce Job Performance | 2012 | VLDB | 0.00011468393 |
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